DSP
A Julia package providing digital signal processing routines including filter design, periodograms, window functions, and estimation.
What is DSP?
DSP.jl is a Julia package that provides a comprehensive set of digital signal processing routines for scientific and engineering applications. It includes functionality for filter design, periodogram estimation, window functions, convolution, and linear predictive coding, enabling users to perform signal analysis and processing directly in Julia.
Researchers, engineers, and scientists working in signal processing, audio analysis, communications, or related fields who need DSP tools within the Julia ecosystem.
It offers a native Julia implementation of common DSP algorithms, providing high performance and seamless integration with Julia's scientific computing stack, unlike wrapping external C/Fortran libraries.
Overview
Filter design, periodograms, window functions, and other digital signal processing functionality
Use Cases
Best For
- Designing and applying digital filters for signal conditioning
- Estimating power spectral density using periodogram methods
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